Granular Computation Based on Fuzzy Rough Sets
基于模糊粗糙集的粒度计算

Granular computing emerges as a new theory of intelligence computing and has received much attention at present. However, there are few researches on feasible granule representation models and reasoning methods in different granular levels. Undoubtedly,it is significant to put fuzzy rough set in the framework of granular computing for processing complex information system and solving complex problems. At first, cartesian product provided us with a method for constructing information granularity in fuzzy relation. Then the paper presented fuzzy rough operator that in different granularities. Moreover, a hierarchy model was formed. Finally, the problem of how to choose the coarser degree of granularity in fuzzy information system was also taken into account,and an example put forward maked it clear that the whole process of constructing granularity. The research we have done suggests that a concrete and useful framework for granular computing is provided.